基于自抗扰控制的散乱数据随机插补优化模型  

Random interpolation optimization model of scattered data based on ADRC

作　　者：洪德华 赵林燕 雷沁怡 孙佳丽 HONG Dehua;ZHAO Linyan;LEI Qinyi;SUN Jiai(Information and Communication Branch of State Grid Anhui Electric Power Co.,Ltd.,Hefei 230061,China)

机构地区：[1]国网安徽省电力有限公司信息通信分公司,安徽合肥230061

出　　处：《电子设计工程》2024年第14期130-133,138,共5页Electronic Design Engineering

基　　金：国家电网安徽电力有限公司科技项目(521207220002)。

摘　　要：随机扰动使得网络数据分布散乱,令散乱数据随机插补精准度下降,构建了基于自抗扰控制的散乱数据随机插补优化模型。使用径向基函数对散乱数据进行逼近,实现散乱数据降噪。构建基于自抗扰控制的随机插补优化模型,即通过定义跟踪微分方程组对散乱数据进行过滤处理。通过跟踪微分算法将被扰动数据替换为稳定跟踪数据。在内部扰动和外部扰动随机插补控制量中引入补偿因子,通过非线性函数来生成随机插补控制量,实现散乱数据随机插补优化。实验结果表明,该模型所有插补数据均与实际数据一致,插补结果更为精准,具备较高的实际应用价值。The random disturbance makes the network data scattered and reduces the accuracy of random interpolation of scattered data.The random interpolation optimization model of scattered data based on auto-disturbance rejection control is constructed.The radial basis function is used to approximate the scattered data to achieve noise reduction of scattered data.A stochastic interpolation optimization model based on auto-disturbance rejection control is constructed,that is,the scattered data is filtered by defining the tracking differential equations.The perturbed data is replaced by stable tracking data by tracking differential algorithm.The compensation factor is introduced into the random interpolation control quantity of internal disturbance and external disturbance,and the random interpolation control quantity is generated by nonlinear function to realize random interpolation optimization of scattered data.The experimental results show that all the interpolation data of the model are consistent with the actual data,and the interpolation results are more accurate and have higher practical application value.

关 键 词：自抗扰控制 散乱数据 随机插补 优化模型 

分 类 号：TP311.1[自动化与计算机技术—计算机软件与理论]